Chemical compound libraries are the basic database for virtual (in silico) drug screening, and the number of entries has reached 20 million. Many drug-like compound libraries for virtual drug screening have been developed and released. In this review, the process of constructing a database for virtual screening is reviewed, and several popular databases are introduced. Several kinds of focused libraries have been developed. The author has developed databases for metalloproteases, and the details of the libraries are described. The library for metalloproteases was developed by improving the generation of the dominant-ion forms. For instance, the SH group is treated as S- in this library while all SH groups are protonated in the conventional libraries. In addition, metal complexes were examined as new candidates of drug-like compounds. Finally, a method for generating chemical space is introduced, and the diversity of compound libraries is discussed.
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http://dx.doi.org/10.2174/157340910791202450 | DOI Listing |
Front Pharmacol
January 2025
Department of Pathology, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea.
The natural world is a vast reservoir of exceptionally varied and inventive chemical compositions. Natural products are used as initial compounds to create combinatorial libraries by targeted modifications and then by analyzing their structure-activity connections. This stage is regarded as a crucial milestone in drug discovery and development.
View Article and Find Full Text PDFAcc Chem Res
January 2025
Department of Chemistry, University of Wisconsin, 1101 University Avenue, Madison, Wisconsin 53706, United States.
ConspectusThe manipulation of strained rings is a powerful strategy for accessing the valuable chemical frameworks present in natural products and active pharmaceutical ingredients. Aziridines, the smallest N-containing heterocycles, have long served as building blocks for constructing more complex amine-containing scaffolds. Traditionally, the reactivity of typical aziridines has been focused on ring-opening by nucleophiles or the formation of 1,3-dipoles.
View Article and Find Full Text PDFGenome Med
January 2025
Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 181 Longwood Avenue, Boston, MA, 02115, USA.
Background: Large-scale pharmacogenomic resources, such as the Connectivity Map (CMap), have greatly assisted computational drug discovery. However, despite their widespread use, CMap-based methods have thus far been agnostic to the biological activity of drugs as well as to the genomic effects of drugs in multiple disease contexts. Here, we present a network-based statistical approach, Pathopticon, that uses CMap to build cell type-specific gene-drug perturbation networks and integrates these networks with cheminformatic data and diverse disease phenotypes to prioritize drugs in a cell type-dependent manner.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
State Key Laboratory of Green Pesticides, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals of Guizhou University, Guiyang 550025, China. Electronic address:
The prompt and efficient identification of targeted inhibitors against unscrupulous pathogenic viruses holds promise for preventing epidemic disease outbreaks. Herein, a comprehensive multichannel screening method (multiple docking cross-validation, molecular dynamics simulation, and density functional theory calculation) integrated with bioactivity identification is rationally established using sugar-based natural ligand libraries to target tobacco mosaic virus (TMV) capsid proteins. Encouragingly, compounds A0 (K = 0.
View Article and Find Full Text PDFJ Med Chem
January 2025
Department of Medicinal Chemistry and the Institute for Translational Neuroscience, University of Minnesota, Minneapolis, Minnesota 55455, United States.
The melanocortin receptors are a class of centrally and peripherally expressed G protein-coupled receptors, of which the MC3R and MC4R subtypes are implicated in the regulation of appetite and energy homeostasis and can serve as potential therapeutic targets for disorders such as obesity and cachexia. An unbiased high-throughput mixture-based library screen was implemented to identify novel ligands with an emphasis on the identification of nanomolar-potent agonists of the mouse melanocortin-3 receptor. This screen yielded the discovery of an N-branched tricyclic guanidine scaffold (TPI2408) that contained three nanomolar potent mMC3R agonists and additional compounds that possessed antagonism for the mMC4R.
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